Validating module network learning algorithms using simulated data

BACKGROUND: In recent years, several authors have used probabilistic graphical models to learn expression modules and their regulatory programs from gene expression data. Despite the demonstrated success of such algorithms in uncovering biologically relevant regulatory relations, further development...

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Detalles Bibliográficos
Autores principales: Michoel, Tom, Maere, Steven, Bonnet, Eric, Joshi, Anagha, Saeys, Yvan, Van den Bulcke, Tim, Van Leemput, Koenraad, van Remortel, Piet, Kuiper, Martin, Marchal, Kathleen, Van de Peer, Yves
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892074/
https://www.ncbi.nlm.nih.gov/pubmed/17493254
http://dx.doi.org/10.1186/1471-2105-8-S2-S5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892074/
https://www.ncbi.nlm.nih.gov/pubmed/17493254
http://dx.doi.org/10.1186/1471-2105-8-S2-S5

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